\begin{table}[htpb]\begin{center} \caption{First-Stage Results from 2SLS Regressions}\label{table:table9}\begin{tabular}{lcccccc} \toprule
 & \multicolumn{6}{c}{Outcome: No. of close outisde peers in village} \\ \cmidrule(lr){2-7} & \multicolumn{2}{c}{ $ Prop_{cv} $ } & \multicolumn{2}{c}{ $ Prop_{cv}^{1830} $ } & \multicolumn{2}{c}{ $ Prop_{cv}^{1830, married} $ }  \\ \cmidrule(lr){2-3}\cmidrule(lr){4-5}\cmidrule(lr){6-7}  &  (1) & (2) & (3) & (4) & (5) & (6)  \\ \midrule
 $ {Prop}_{cv} \times MIL_{i} $&      -0.256***&      -0.214***&      -0.265***&      -0.232***&      -0.265***&      -0.229***\\
                         &     [0.066]   &     [0.068]   &     [0.063]   &     [0.066]   &     [0.065]   &     [0.068]   \\
 $ Prop_{cv} $           &       0.162*  &               &       0.158*  &               &       0.156*  &               \\
                         &     [0.094]   &               &     [0.087]   &               &     [0.087]   &               \\
N                        &         671   &         671   &         671   &         671   &         671   &         671   \\
First stage F-stat       &       14.93   &       10.05   &       17.78   &       12.51   &       16.77   &       11.35   \\
 $ X_i $                &               &           x   &               &           x   &               &           x   \\
Caste FE                 &               &           x   &               &           x   &               &           x   \\
Village FE               &               &           x   &               &           x   &               &           x   \\
Caste x Village FE       &               &           x   &               &           x   &               &           x   \\
\bottomrule \\[-5ex] \end{tabular} \end{center} \begin{tablenotes} This table reports coefficients from two versions of specification (5); in columns (1), (3), and (5), we only include Propcv * MILi and Propcv as explanatory variables, while the rest of the columns estimate the full version of specification (5). Each column is a separate regression. The outcome variable is a woman's number of close peers who live in her village but not in her household. Across columns, we use the three definitions of the peer pool described in the text. Robust standard errors in brackets are clustered at the village level. \sym{*}\(p<0.1\),\sym{**}\(p<0.05\),\sym{***}\(p<0.01\). \end{tablenotes} \end{table}
